Special Issue "Monitoring Salt Marsh Condition with Remote Sensing"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".

Deadline for manuscript submissions: closed (31 May 2020).

Special Issue Editors

Dr. Charles M. Bachmann
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Guest Editor
Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 14623-5604, USA
Interests: hyperspectral and multi-sensor remote sensing; radiative transfer; BRDF; goniometers; coastal science; wetlands; manifold and graph algorithms
Dr. Christy Tyler
Website
Guest Editor
Thomas H. Gosnell School of Life Sciences, Rochester Institute of Technology, Rochester, NY 14623-5604, USA
Interests: aquatic ecology and biogeochemistry; wetlands; invasive species; ecosystem restoration

Special Issue Information

Dear Colleagues,

Salt marshes are a critical transition zone in the coastal region, providing habitats for numerous ecologically and economically important species, the removal of land-derived nutrients, protection from storms, and a potentially important sink for atmospheric carbon dioxide, so called “blue carbon”. In recent decades, salt marshes have been subject to increasing stressors, including sea-level rise, temperature extremes, storms, excess nutrients, and cascading shifts in the biological community structure induced by the overharvest of commercial species. As a result, there are many reports of die-off events that cover significant areas of coastal salt marsh systems. To monitor and understand the nature of these and other changes in salt marsh ecosystems, remote sensing can play a critical role, allowing for a synoptic scale perspective and the ability to monitor short- and long-term change. Models developed locally for remote sensing data can be extended broadly across salt marsh systems to assess marsh condition, observe change, and predict the future trajectory of coastal salt marsh environments. The use of spectral imaging, LiDAR, thermal-, radar-, and multi-sensor imaging can play an important role in understanding the condition of marsh ecosystems, and with the now widespread use of unmanned aerial systems (UAS), a broader range of spatial scales in marsh systems can be understood.

This Special Issue invites contributed articles that emphasize the monitoring and assessment of salt marsh condition from remote sensing. Potential topics may include, but are not limited to, the following:

(1) Methods for retrieving biophysical parameters of salt marshes, using, for example, vegetation indices, radiative transfer models, or statistical pattern recognition methodologies.

(2) Improvements to hyperspectral; multi-spectral; LiDAR; thermal, RADAR, or multi-sensor approaches to assess marsh condition.

(3) Remote sensing approaches that emphasize one or more scales within marsh ecosystems from various platforms, namely: satellite, airborne, UAS, or other novel imaging platforms.

(4) Remote sensing imagery time series and change detection in marsh ecosystems.

(5) The analysis of marsh spatial structure and species distribution from remotely sensed data.

(6) The remote assessment of the carbon sequestration potential in coastal salt marsh systems. Both original research articles and review articles addressing one or more of these or similar topics are welcome.

Dr. Charles M. Bachmann
Dr. Christy Tyler
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • blue carbon
  • marsh biomass
  • marsh die-off
  • marsh stressors
  • marsh biophysical properties
  • radiative transfer
  • vegetation indices
  • statistical pattern recognition
  • marsh heterogeneity and scaling
  • spectral imaging
  • LiDAR
  • thermal imaging
  • RADAR
  • multi-sensor systems

Published Papers (1 paper)

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Open AccessLetter
Retrieval of Sediment Filling Factor in a Salt Panne from Multi-View Hyperspectral Imagery
Remote Sens. 2020, 12(3), 422; https://doi.org/10.3390/rs12030422 - 28 Jan 2020
Cited by 1
Abstract
This work describes a study using multi-view hyperspectral imagery to retrieve sediment filling factor through inversion of a modified version of the Hapke radiative transfer model. We collected multi-view hyperspectral imagery from a hyperspectral imaging system mounted atop a telescopic mast from multiple [...] Read more.
This work describes a study using multi-view hyperspectral imagery to retrieve sediment filling factor through inversion of a modified version of the Hapke radiative transfer model. We collected multi-view hyperspectral imagery from a hyperspectral imaging system mounted atop a telescopic mast from multiple locations and viewing angles of a salt panne on a barrier island at the Virginia Coast Reserve Long-Term Ecological Research site. We also collected ground truth data, including sediment bulk density and moisture content, within the common field of view of the collected hyperspectral imagery. For samples below a density threshold for coherent effects, originally predicted by Hapke, the retrieved sediment filling factor correlates well with directly measured sediment bulk density ( R 2 = 0.85 ). The majority of collected samples satisfied this condition. The onset of the threshold occurs at significantly higher filling factors than Hapke’s predictions for dry sediments because the salt panne sediment has significant moisture content. We applied our validated inversion model to successfully map sediment filling factor across the common region of overlap of the multi-view hyperspectral imagery of the salt panne. Full article
(This article belongs to the Special Issue Monitoring Salt Marsh Condition with Remote Sensing)
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